Using a survey module administered in late March 2020, we analyze how working hours change under the social distancing regulations enacted to fight the CoViD-19 pandemic. We study the Netherlands, which are a prototypical Western European country, both in terms of its welfare system and its response to the pandemic. We show that total hours decline and more so for the self-employed and those with lower educational degrees. The education gradient appears because workers with a tertiary degree work a much higher number of hours from home. The strength of this effect is dampened by the government defining some workers to be essential for the working of the economy. Across sectors, we show that there are two clusters: One dominated by office-type occupations with high shares of academics, home-office hours, and low fractions of essential workers; and one where manual tasks and social interactions are prevalent with low shares of academics, home office hours, and often high shares of essential workers. Short-term expectations show that workers expect current patterns to prevail and that they expect a lot from government support schemes. In particular, many workers expect to keep their jobs in early June due to government support and the expected unemployment response is far lower than in the U.
Using customized panel data spanning the entire year of 2020, we analyze the dynamics of working hours and household income across different stages of the Covid-19 pandemic. Similar to many other countries, during this period the Netherlands experienced a quick spread of the SARS-CoV-2 virus, adopted a set of fairly strict social distancing measures, gradually reopened, and imposed another lockdown to contain the second wave. We show that socio-economic status is strongly related to changes in working hours, especially when strict economic restrictions are in place. In contrast, household income is equally unaffected for all socio-economic groups. Examining the drivers of these observations, we find that pandemic-specific job characteristics (the ability to work from home and essential worker status) help explain the socio-economic gradient in total working hours. Household income is largely decoupled from shocks to working hours for employees. We provide suggestive evidence that large-scale labor hoarding schemes have helped insure employees against shocks to their employees.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.